Case study

Integrated data to respond to coffee leaf rust

Coffee risk map on the Pergamino platform

Challenge

Responding to coffee leaf rust means seeing epidemiological and weather data together, and they are usually kept apart.

What we did

We built Pergamino for the Inter-American Institute for Cooperation on Agriculture (IICA), a platform that integrates epidemiological and meteorological data.

Outcome

A single source of information to respond to coffee leaf rust.

Technology

Data platform
Climate information

DAP's role. DAP built the platform for IICA.

More of our work

Somos Río LempaEl Salvador2026

Reliable farming answers on WhatsApp for producers in the Río Lempa watershed

Challenge: Producers and extension staff in the watershed needed timely agronomic guidance, but in-person technical assistance can't cover every question.
Outcome: An always-available assistance channel, with answers traceable to their sources and an improvement cycle driven by expert review.

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FUNDECORCosta Rica

Continuous forest monitoring for forest managers in Costa Rica

Challenge: Managing forest and conservation properties required up-to-date spatial information that was easy to access for planning, follow-up and reporting.
Outcome: Centralized landscape information available for decision-making and for reporting to partners and funders.

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Coffee Cloud dashboard with a map of Guatemala and indicators

AnacaféGuatemala2017–2020

Useful, timely information for thousands of coffee-farming families

Challenge: Coffee-farming families were making management decisions without access to climate information or timely technical assistance.
Outcome: An internationally recognized farmer-information model (MIT Technology Review Innovators Under 35, Cracking the Nut 2017).

AI agents and assistants for landscapes

~6,000coffee farmers reached

Next step

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